My professional career has been driven by continuous learning. My
approach to any technical problem is “I can probably learn how to do
that” followed by rolling up my sleeves to get things done. I learned to
be a data scientist through hard work outside the traditional classroom,
including a significant amount of on-the-job learning with the help of
many incredibly talented colleagues. I highly value helping others
following similar autodidactic paths, and I spend time advising and
encouraging other data scientists or aspiring data scientists from
nontraditional backgrounds and/or underrepresented groups.
Experience
Staff Data Scientist, project44 2021–Present
Solve complex problems and build product features using data science and
machine learning strategies
Invented and deployed new technique to create geofences (see patents
section)
Developed new method for estimating the next stop to be visited by a
vehicle
Developed new model for matching submitted shipments with transporting
vehicles
Senior Data Scientist, Saturn Cloud 2020–2021
Led complete rebuild and rewrite of product documentation and written
tutorials
Produced educational written and video content teaching Dask, Python,
model deployment, computer vision, and machine learning skills for
customers and the public
Provided hands on support for customers to parallelize and optimize
their machine learning code performance
Data Science Technical Lead; Senior Data Scientist, Journera
2019–2020
Oversaw increase in team’s volume of epic completion and reduced ticket
time to completion
Introduced team to OKR goals system and led implementation
Built and productionalized company’s first 2 machine learning models,
including customer value scoring model for projecting travel purchase
behavior
Constructed company’s first relational database in Redshift with daily
updating pipeline in Airflow
Senior Data Scientist; Data Scientist, Uptake 2017–2019
Inventor of technique for managing gaps in telemetry data on monitored
vehicles (see patent section)
Recipient of Uptake Data Science Department MVP Award (top performer
recognition), Q2 2018
Research Analyst; Data Analyst, University of Chicago Urban Labs
2014–2017
Conducted statistical analyses evaluating interventions to benefit youth
outcomes and crime reduction.
Collaborated with Chicago Public Schools to help facilitate research and
program evaluation opportunities.
I also taught sociology and health sciences at DePaul University as a
part-time adjunct from 2013-2018.
Other Skills: Object oriented programming, unit testing, package
construction, machine learning/predictive modeling, deep
learning/computer vision, parallelization, GPU utilization, NLP,
geospatial analysis
Education
M.A., Social and Cultural Foundations of Education (with
distinction), DePaul University M.A., Sociology, Portland State
University B.A., Sociology and European Studies (with honors),
University of Kansas
Patents
Patent Inventor: Computer System and Method for Handling
Non-Communicative Assets
Patent issuer and number: US 10,552,246 B1
Issued Feb 4, 2020
Patent Inventor: (approval pending) Technologies for Identifying
Geographic Boundaries of Shipping Locations